feat: add symmetric mean absolute percentage error (sMAPE)#437
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relf merged 3 commits intorust-ml:masterfrom Apr 16, 2026
Merged
feat: add symmetric mean absolute percentage error (sMAPE)#437relf merged 3 commits intorust-ml:masterfrom
relf merged 3 commits intorust-ml:masterfrom
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Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## master #437 +/- ##
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+ Coverage 76.73% 76.76% +0.03%
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Files 106 106
Lines 7410 7429 +19
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+ Hits 5686 5703 +17
- Misses 1724 1726 +2 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Updated sMAPE formula to Adjusted (Makridakis, 1993) version Changed output scaling to [0, 200] Added test_symmetric_mean_absolute_percentage_error_multi_target
relf
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Apr 15, 2026
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Thanks for this contribution. After the minor fix below, it will be ok for me.
Co-authored-by: Rémi Lafage <remi.lafage@onera.fr>
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Thank you for reviewing this I really appreciate it! I've made the recommended change, thanks again! |
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Fixes #436
This PR adds the Symmetric Mean Absolute Percentage Error (sMAPE) metric.
sMAPE is a regression metric that addresses the asymmetry found in standard MAPE by normalizing the absolute error by the average of the actual and predicted values. This implementation is numerically stabilized with a small epsilon to handle cases where both the ground truth and prediction are zero.
Verified sMAPE testing with
I tried to keep the formatting and style consistent with MAPE but if there is anything that needs to be changed just let me know!